Embedded Systems For Electric Vehicles

Master the fundamentals of embedded systems for EVs: BMS, motor control, and communication protocols

What you'll learn

Understand the Fundamentals

Analyze EV Subsystems

Apply Communication Protocols

Design Embedded Solutions

Implement Safety & Security

Integrate Hardware & Software

Explore Future Trends

Requirements

Basic Electronics Knowledge

Fundamentals of Programming

Embedded Systems Basics

Basic EV / Automotive Knowledge (Optional but Helpful)

Software & Tools (Free / Open-Source Preferred)

Math & Physics Foundation

Hardware (Optional for Hands-On Learners)

Description

The future of mobility is electric—and at the heart of every electric vehicle (EV) lies a network of embedded systems that control, monitor, and optimize performance. From the battery management system (BMS) to motor control, power electronics, and safety features, embedded systems are the brains that make EVs efficient, safe, and intelligent.This course is designed to give you a comprehensive understanding of embedded systems in the EV domain, blending theory with practical insights. Whether you are an engineering student, a professional entering the EV industry, or a tech enthusiast curious about how electric vehicles work, this course will take you step by step into the world of embedded technology for EVs.You will learn how microcontrollers, sensors, actuators, and communication protocols integrate into EV subsystems, how real-time software ensures smooth motor operation, how charging and energy management are handled, and how safety and cybersecurity are built into modern EVs. The course also explores emerging trends like vehicle-to-grid (V2G), AI-driven energy optimization, and autonomous driving integration.By the end of the course, you will be able to: Explain the role of embedded systems in EVs and their key components. Understand how BMS, motor control, charging systems, and power electronics rely on embedded software. Apply communication protocols (CAN, LIN, UART, ISO 15118) used in EVs. Gain hands-on exposure to embedded programming with microcontrollers (Arduino/STM32). Recognize the importance of safety, functional standards, and cybersecurity in EV embedded systems. Explore the future of EV technology and its integration with smart grids and autonomous driving.No prior EV expertise is required—only basic knowledge of electronics and programming is needed. The course uses simple explanations, practical examples, and optional hands-on exercises with Arduino/STM32 so learners of all levels can follow along. Join today and start your journey into the exciting field of Embedded Systems for Electric Vehicles—the technology driving the green revolution.

Overview

Section 1: Section 1 Introduction to Embedded Systems in Electric Vehicles

Lecture 1 Lecture 1.1 What is an Embedded System – Basics and Real-World Applications

Lecture 2 Lecture 1.2 Why Embedded Systems for Electric Vehicles – Importance and Benefits

Lecture 3 Lecture 1.3 Overview of EV Architecture – Key Components & Power Flow

Lecture 4 Lecture 1.4 Introduction to Microcontrollers and Processors in EVs – Role of Com

Lecture 5 Lecture 1.5 Course Roadmap & What to Expect – Learning Outcomes and Projects

Section 2: Section 2 Electric Vehicle Components & Embedded Systems

Lecture 6 Lecture 2.1 Battery Management System (BMS) – Importance and Functions

Lecture 7 Lecture 2.2 Motor Control Unit (MCU) in EVs – Role and Working Principle

Lecture 8 Lecture 2.3 Power Electronics & Inverters – Basics of Power Conversion

Lecture 9 Lecture 2.4 Sensors in Electric Vehicles – Temperature, Current, Voltage Sensors

Lecture 10 Lecture 2.5 Actuators & Control Systems – How Embedded Systems Control EV Operat

Section 3: Section 3 Microcontrollers & Processors for EVs

Lecture 11 Lecture 3.1 Types of Microcontrollers Used in EVs – Overview of Popular MCUs

Lecture 12 Lecture 3.2 How Microcontrollers Process Data– Working Principle

Lecture 13 Lecture 3.3 Introduction to Real-Time Operating Systems (RTOS) – Basics for EV A

Lecture 14 Lecture 3.4 Programming Microcontrollers for EV Applications – Getting Started w

Lecture 15 Lecture 3.5 Introduction to Firmware Development – Basics of Software for EV Sys

Section 4: Section 4 Communication Protocols in EV Embedded Systems

Lecture 16 Lecture 4.1 CAN Bus Protocol in EVs – Basics and Importance

Lecture 17 Lecture 4.2 LIN Protocol & Applications in EVs – Low-Speed Communication

Lecture 18 Lecture 4.3 UART, SPI, and I2C in Embedded Systems – Common Protocols Explained

Lecture 19 Lecture 4.4 Wireless Communication in EVs (Bluetooth, WiFi, and IoT) – Remote Co

Lecture 20 Lecture 4.5 Hands-onn Writing a Simple CAN Bus Program – Basic Coding Demo

Section 5: Section 5 Battery Management System (BMS) & Embedded Software

Lecture 21 Lecture 5.1 Functions of a Battery Management System (BMS) in EVs – Role and Com

Lecture 22 Lecture 5.2 State of Charge (SOC) & State of Health (SOH) Monitoring – Battery P

Lecture 23 Lecture 5.3 Thermal Management of EV Batteries – Cooling and Safety Measures

Lecture 24 Lecture 5.4 Embedded Software for BMS – Basic Programming Concepts

Lecture 25 Lecture 5.5 Hands-on Writing a Simple BMS Algorithm – Practical Coding Example

Section 6: Section 6 Motor Control & Power Electronics

Lecture 26 Lecture 6.1 Types of Motors Used in EVs – BLDC, PMSM, and AC Induction Motors

Lecture 27 Lecture 6.2 Motor Control Algorithms & Strategies – How Speed and Torque Are Co

Lecture 28 Lecture 6.3 Power Inverters & Their Role in EVs – Conversion of DC to AC

Lecture 29 Lecture 6.4 Embedded Software for Motor Controllers – Basic Control Logic

Lecture 30 Lecture 6.5 Hands-on Writing a Simple Motor Control Program – Practical Example

Section 7: Section 7 Safety & Security in EV Embedded Systems

Lecture 31 Lecture 7.1 Cybersecurity in EV Embedded Systems – Protection Against Hacking

Lecture 32 Lecture 7.2 Functional Safety Standards for EVs (ISO 26262) – Safety Guidelines

Lecture 33 Lecture 7.3 Fault Detection & Diagnostics in EVs – Detecting Failures in Real Ti

Lecture 34 Lecture 7.4 Redundancy & Fail-Safe Mechanisms – Ensuring Safety in Critical Situ

Lecture 35 Lecture 7.5 Hands-on Implementing a Simple Fault Detection Code – Practical Exam

Section 8: Section 8 Future of Embedded Systems in Electric Vehicles

Lecture 36 Lecture 8.1 Role of AI & Machine Learning in EVs – Future Trends

Lecture 37 Lecture 8.2 Autonomous Electric Vehicles & Embedded Systems – Self-Driving Techn

Lecture 38 Lecture 8.3 Vehicle-to-Grid (V2G) & Smart Charging – Connecting EVs to Power Gr

Lecture 39 Lecture 8.4 Opportunities & Careers in EV Embedded Systems – Job Roles and Skil

Lecture 40 Lecture 8.5 Course Summary & Next Steps – Final Review and Learning Path

Engineering Students (Electrical, Electronics, Mechatronics, Automotive, Computer Science),Working Professionals & Engineers,Embedded Systems Developers,EV Startups & Entrepreneurs,Researchers & Academics,Tech Enthusiasts & Hobbyists